Subudhi Badri Narayan (30 results)

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Paperback. Condition: new. Paperback. This two-set volume CCIS 2684 and CCIS 2685 constitutes the refereed proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2025 held in Jammu, India, during July 1618, 2025.The 70 full papers presented in these volumes were carefully reviewed and selected from 266 submissions. The papers cover topics in Active and Real Time Vision, Industrial Vision Systems, Motion and Video Analysis, Hardware for Graphics, Image and Video Compression, Hardware for Vision and IP, Image and Video Retrieval, Visual Special Effects, Object Detection and Recognition, Speech and Audio Processing, Segmentation and Grouping, Document Understanding, Digital Heritage, Medical Image Analysis, Aerial and Satellite Image Analysis, Pattern Recognition, Sensors and Imaging models, Deep Learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. This two-set volume CCIS 2684 and CCIS 2685 constitutes the refereed proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2025 held in Jammu, India, during July 1618, 2025.The 70 full papers presented in these volumes were carefully reviewed and selected from 266 submissions. The papers cover topics in Active and Real Time Vision, Industrial Vision Systems, Motion and Video Analysis, Hardware for Graphics, Image and Video Compression, Hardware for Vision and IP, Image and Video Retrieval, Visual Special Effects, Object Detection and Recognition, Speech and Audio Processing, Segmentation and Grouping, Document Understanding, Digital Heritage, Medical Image Analysis, Aerial and Satellite Image Analysis, Pattern Recognition, Sensors and Imaging models, Deep Learning Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Digital image processing plays a crucial role in facilitating efficient storage, transmission, manipulation, and retrieval of images. Python, renowned for its open-source nature and strong community support, offers a user-friendly platform with extensive image processing capabilities through libraries such as computer vision and scikit-learn.This textbook serves as a practical guide to digital image processing using Python, presenting fundamental concepts, techniques, and algorithms with illustrative examples in Python. Each chapter begins with clear learning objectives and concludes with exercises and multiple-choice questions for self-assessment. Drawing from a diverse range of sources including research articles and books, the references provided at the end of each chapter encourage further exploration.Tailored for undergraduate and postgraduate students, research scholars, engineers, and faculty specializing in image processing, it assumes a foundational understanding of set theory, matrix algebra, probability, and random variables.…

Condition: New.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-set volume CCIS 2684 and CCIS 2685 constitutes the refereed proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2025 held in Jammu, India, during July 16 18, 2025.The 70 full papers presented in these volumes were carefully reviewed and selected from 266 submissions. The papers cover topics in Active and Real Time Vision, Industrial Vision Systems, Motion and Video Analysis, Hardware for Graphics, Image and Video Compression, Hardware for Vision and IP, Image and Video Retrieval, Visual Special Effects, Object Detection and Recognition, Speech and Audio Processing, Segmentation and Grouping, Document Understanding, Digital Heritage, Medical Image Analysis, Aerial and Satellite Image Analysis, Pattern Recognition, Sensors and Imaging models, Deep Learning. …

Paperback. Condition: Brand New. 700 pages. 9.25x6.10x9.25 inches. In Stock.

Condition: New.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-set volume CCIS 2684 and CCIS 2685 constitutes the refereed proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2025 held in Jammu, India, during July 16 18, 2025.The 70 full papers presented in these volumes were carefully reviewed and selected from 266 submissions. The papers cover topics in Active and Real Time Vision, Industrial Vision Systems, Motion and Video Analysis, Hardware for Graphics, Image and Video Compression, Hardware for Vision and IP, Image and Video Retrieval, Visual Special Effects, Object Detection and Recognition, Speech and Audio Processing, Segmentation and Grouping, Document Understanding, Digital Heritage, Medical Image Analysis, Aerial and Satellite Image Analysis, Pattern Recognition, Sensors and Imaging models, Deep Learning. …

Paperback. Condition: Brand New. 504 pages. 9.25x6.10x9.25 inches. In Stock.

Taschenbuch. Condition: Neu. Computer Vision, Pattern Recognition, Image Processing, and Graphics | 10th National Conference, NCVPRIPG 2025, Jammu, India, July 16-18, 2025, Revised Selected Papers, Part II | Badri Narayan Subudhi (u. a.) | Taschenbuch | Communications in Computer and Information Science | xxii | Englisch | 2026 | Springer | EAN 9783032085108 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Computer Vision, Pattern Recognition, Image Processing, and Graphics | 10th National Conference, NCVPRIPG 2025, Jammu, India, July 16-18, 2025, Revised Selected Papers, Part I | Badri Narayan Subudhi (u. a.) | Taschenbuch | xxii | Englisch | 2026 | Springer | EAN 9783032085078 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condition: Brand New. 500 pages. 9.25x6.10x9.25 inches. In Stock.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, the problem of video object detection has been addressed. The object is detected by integrating the spatial segmentation as well as temporal segmentation. The spatial segmentation of frames has been formulated in spatio-temporal framework. A Compound MRF model is proposed to model the video sequence. This model takes care of the spatial and the temporal distributions as well. Besides taking in to account the pixel distributions in temporal directions, it also model the edges in the temporal direction. This model has been named as edgebased model. The MAP estimates of the labels have been obtained by a hybrid algorithm and is devised by integrating that global as well as local convergent criterion. Similarly temporal segmentation is obtained by a proposed entropy based window growing scheme. The spatial and temporal segmentation have been integrated to obtain the Video Object Plane (VOP) and hence object detection. 172 pp. Englisch.…

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, the problem of video object detection has been addressed. The object is detected by integrating the spatial segmentation as well as temporal segmentation. The spatial segmentation of frames has been formulated in spatio-temporal framework. A Compound MRF model is proposed to model the video sequence. This model takes care of the spatial and the temporal distributions as well. Besides taking in to account the pixel distributions in temporal directions, it also model the edges in the temporal direction. This model has been named as edgebased model. The MAP estimates of the labels have been obtained by a hybrid algorithm and is devised by integrating that global as well as local convergent criterion. Similarly temporal segmentation is obtained by a proposed entropy based window growing scheme. The spatial and temporal segmentation have been integrated to obtain the Video Object Plane (VOP) and hence object detection.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: SUBUDHI BADRI NARAYANMr.Badri Narayan Subudhi received BE degree in E&TC from the BPUT, India in 2004 and M. Tech degree in Elect. syst. and Comm. Engg. from N.I.T, Rourkela, India. Dr. Pradipta Kumar Nanda is Professor and Head of. …

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This two-set volume CCIS 2684 and CCIS 2685 constitutes the refereed proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2025 held in Jammu, India, during July 16 18, 2025.The 70 full papers presented in these volumes were carefully reviewed and selected from 266 submissions. The papers cover topics in Active and Real Time Vision, Industrial Vision Systems, Motion and Video Analysis, Hardware for Graphics, Image and Video Compression, Hardware for Vision and IP, Image and Video Retrieval, Visual Special Effects, Object Detection and Recognition, Speech and Audio Processing, Segmentation and Grouping, Document Understanding, Digital Heritage, Medical Image Analysis, Aerial and Satellite Image Analysis, Pattern Recognition, Sensors and Imaging models, Deep Learning. 482 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, the problem of video object detection has been addressed. The object is detected by integrating the spatial segmentation as well as temporal segmentation. The spatial segmentation of frames has been formulated in spatio-temporal framework. A Compound MRF model is proposed to model the video sequence. This model takes care of the spatial and the temporal distributions as well. Besides taking in to account the pixel distributions in temporal directions, it also model the edges in the temporal direction. This model has been named as edgebased model. The MAP estimates of the labels have been obtained by a hybrid algorithm and is devised by integrating that global as well as local convergent criterion. Similarly temporal segmentation is obtained by a proposed entropy based window growing scheme. The spatial and temporal segmentation have been integrated to obtain the Video Object Plane (VOP) and hence object detection.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This two-set volume CCIS 2684 and CCIS 2685 constitutes the refereed proceedings of the 10th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2025 held in Jammu, India, during July 16 18, 2025.The 70 full papers presented in these volumes were carefully reviewed and selected from 266 submissions. The papers cover topics in Active and Real Time Vision, Industrial Vision Systems, Motion and Video Analysis, Hardware for Graphics, Image and Video Compression, Hardware for Vision and IP, Image and Video Retrieval, Visual Special Effects, Object Detection and Recognition, Speech and Audio Processing, Segmentation and Grouping, Document Understanding, Digital Heritage, Medical Image Analysis, Aerial and Satellite Image Analysis, Pattern Recognition, Sensors and Imaging models, Deep Learning 478 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -.- A Lightweight System for Attention-based Night-time Traffic Accident Detection.- Blind Spot Aware and Speed-Sensitive Emergency Vehicle Detection Using YOLO and Faster R-CNN Synergy.- Explainable Parallel CNN Model with Dense-Squeeze and Excitation Blocks for Corn Leaf Disease Classification.- Attention-Based Multi-patch Hierarchical Network with Non-local Information for Smartphone Image Denoising.- Extractive Text Summarization using BERT with Weighted Pooling.- Weighted TimeSformer Multi-Region CNN Network for Personalized and Context-aware Activity Localization in Ambient Assisted Living.- Prediction of Direction-of-Arrival and Distance for Binaural Sound Sources Using a CRNN-Based Model.- Automated Georeferencing of Topographic Maps via OCR and In-Context Multimodal LLM Reasoning.- PinTags: A Visual Fiducial Marker System for Logistics.- Deep Learning Approach based Object Detection in Underwater SONAR Images.- PRISM: Progressive Regional Integration with Synergetic Multi-Attention Transformer for Single Image Super-Resolution.- UnTherISR: Unsupervised Approach for Thermal Image Super-Resolution.- MAMBA-TBPS: An Efficient Attribute-Relation-Sensitive Framework for Text-Based Person Search.- Boosting MobileNet Performance on Embedded Systems Using SE Modules.- ContextualVQA: An Efficient Ambient Assisted Monitoring framework Using Visual Question Answering.- A Human Vision Neuroscience-Driven Deep Neural Framework for Change Detection in Underwater Scenes.- Class-Agnostic Triple Attention Model Towards Optimization and Variable Rate Compression in Wildlife Camera Trap Images.- Device-generalized representations for acoustic scene classification.- Fake News Detection Using Cellular Automata And Deep Learning.- Demystifying Transformer: A Case Study on Graph-Based Interpretability and Attention Layer Dynamics.- A Quality-Guided Framework for Low-Light Underwater Image Enhancement Using Degradation Classification and Benchmark Evaluation.- Dual-modal Fusion Deep Learning Network for Traffic Targets Detection of Autonomous Vehicles.- Hybrid Deep Learning and Explainable AI Approach Towards Trustworthy EV Stock Predictions.- WaterIDViT: Open Water Body Extraction in High-resolution Remote Sensing Images Using Vision Transformers.- Vision-Based Underwater Docking Station Detection for Autonomous Underwater Vehicles.- Real-Time Combat Training Analytics: Skeleton-based Temporal Action Localization in Unstructured Video.- High-Precision Traffic Accident Detection Using YOLOv11 Model and Image Processing with Deep Learning Techniques.- Late-Fusion-Based Hybrid Deep Learning Architectures for Malware Detection.- AUSREGSE: Advanced Underwater Segmentation with ResNet50 with enhancement-guided Squeeze and Excitation Blocks.- Improvisation of Yolov4 Algorithm for Multiple Object Tracking Using Kalman Filtering Hungarian Method.- Saliency Guided Tile-Based Image Segmentation.- Deep Image Prior-Based Segmentation: A Study and proposal of Deeper U-Net.- Quantum Convolutional Neural Networks with Residual Learning: Advancing Quantum Model Architectures.- Enhancing LSTM-based Piano Music Generation with Self-Attention on the Lakh MIDI Dataset.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 504 pp. Englisch.…

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -.- Facial Action Unit Analysis for Indian Classical Dance Forms: A Micro-Emotion Sequencing Framework Approach.- Semi-Supervised Approach for Disease Severity.- A Vision-Guided Autonomous Weeding Robot using Image-Based Weed Classification for Sustainable Agriculture.- Towards Realistic Synthetic Palmprint Data: A Smartphone Video Dataset with Diverse Variations.- HybridMorph: Towards usage of synthetic with real data for medical MR images registration.- Glaucoma Detection in Retinal Images via Attention-Based Hybrid Deep Model with Fibonacci-Inspired Ring Features.- A comparative analysis of deep learning models for crop price forecasting.- Whirling Triangle-Based Geometric and Texture Feature Extraction with Attention-Driven Hybrid Models for Multiclass Osteoporosis Classification from Knee X-rays.- Leveraging DeepLabV3+ with Explainable AI for Brain Tumor Segmentation in 2D MRI.- Impact of Age and Gender on the Accuracy of Computational Model-Based Heart Disease Prediction.- SAPxAI: Deep Features with Explainable Artificial Intelligence Techniques for Prediction of Saffron Adulteration.- A Secure Collaborative Approach for Autism Spectrum Disorder Detection Using Decentralized Deep Learning.- Precision Soil Monitoring via UAV-Captured RGB Imaging and Spectral Band Regression Using Deep Learning.- Emotion Recognition with EEG Signals using Transformer-based Trainable Adjacency Matrix and Graph Convolutional Network.- A Review on AI-Based Cognitive Systems for Digital Wellbeing.- AI-Driven Dermatology: Enhancing Melanoma Detection with XAI and Deep Learning.- Explainable Skin cancer Detection via Hybrid CNN and Adaptive Post-Hoc Explanations.- Vegetation region localization for plant in field having specular reflection.- Quantifying Plant Structural Complexity Using an Image-Based Structural Complexity Index (SCI).- Enhancing UPI Transactions Fraud Detection with Machine Learning and Biometric Authentication.- Detect Before Decay: Early Diagnosis of Dental Caries via Intraoral Scans.- An Explainable Deep Learning Framework for Banana Leaf Disease Detection and Analysis.- Explainability-Driven Multimodal Glioma Segmentation Using a Hybrid CNN-Transformer Architecture and IoU-Based Attribution Analysis.- Graph-Based Classification of Lung Cancer Histopathology Using SimCLR Feature Extraction and Graph Attention Networks.- Deep Liveness: Face Liveness Detection Using a Lightweight U-Net-Based Deep Architecture.- Enhancing Latent Fingerprint Quality Assessment Using a Deep Learning Pipeline.- A Proximal Approach to Image Deconvolution under Mixed Poisson-Gaussian Noise.- Adversarial Representation Learning for Presentation Attack Detection on Face Recognition Systems.- A Classifier for Spinal Tumors using Novel Data Augmentation.- Brain Tumor Extraction using Adaptive Non convex and Superpixel Motion Detection.- SRSegFormer: Joint Super-Resolution and Segmentation Framework for Fine-Scale Root Phenotyping.- Robust Spatial Enhancement of ASL-MRI based on 3DFSRCNN Framework.- Sign Language Translation Using Multi-Modal Transformer Network.- Sensei: Assistive Real-Time Perception for Visually Impaired Users with Depth-Aware Object and Face Recognition.- Stacked Ensemble Learning for Global Crop Yield Prediction: A Comparative Study of Machine Learning Techniques.- Protein Methylation Site Prediction based on spatial feature of Amino Acids using SMOTE and Stratified Cross-Validation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 500 pp. Englisch.…